Results 301 to 310 of about 10,620,708 (372)

Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis

Knowledge-Based Systems, 2023
Quan Qian, Yi Wang, Taisheng Zhang, Yi Qin   +3 more
semanticscholar   +1 more source

Root mean square error or mean absolute error? Use their ratio as well

Information Sciences, 2021
D. Karunasingha
semanticscholar   +1 more source

Mean square convergence analysis for kernel least mean square algorithm

Signal Processing, 2012
In this paper, we study the mean square convergence of the kernel least mean square (KLMS). The fundamental energy conservation relation has been established in feature space. Starting from the energy conservation relation, we carry out the mean square convergence analysis and obtain several important theoretical results, including an upper bound on ...
Badong Chen, Songlin Zhao, Pingping Zhu, José C. Príncipe   +3 more
openaire   +1 more source

Multikernel Least Mean Square Algorithm

IEEE Transactions on Neural Networks and Learning Systems, 2014
The multikernel least-mean-square algorithm is introduced for adaptive estimation of vector-valued nonlinear and nonstationary signals. This is achieved by mapping the multivariate input data to a Hilbert space of time-varying vector-valued functions, whose inner products (kernels) are combined in an online fashion.
Felipe A, Tobar, Sun-Yuan, Kung, Danilo P, Mandic   +2 more
openaire   +2 more sources

On the root mean square error (RMSE) calculation for parameter estimation of photovoltaic models: A novel exact analytical solution based on Lambert W function

, 2020
Martin P. Ćalasan, S. Aleem, A. Zobaa
semanticscholar   +1 more source

Listing Expected Mean Square Components

Biometrics, 1965
SUMMARY Methods for listing the components of the expected mean squares are presented for two classes of factorial experiments. The procedures are based upon the combinatorial technique aind a modification of the telescopic technique of completely nested classifications. The methods give the experimenter the freedom of finding the expected mean squares
openaire   +2 more sources

Speech enhancement using a minimum mean-square error log-spectral amplitude estimator

IEEE Transactions on Acoustics Speech and Signal Processing, 1984
Y. Ephraim, D. Malah
semanticscholar   +1 more source

mean square

2021
openaire   +1 more source

Examination of the Weighted Root Mean Square Residual: Evidence for Trustworthiness?

, 2018
C. Distefano, Jin Liu, Ning Jiang, Dexin Shi   +3 more
semanticscholar   +1 more source

Speech Enhancement Using a-Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator

Y. Ephraim, D. Malah
semanticscholar   +1 more source